Triple
T9200888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neermahal Palace |
E220834
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Melaghar
Melaghar is a town in the Indian state of Tripura known as the gateway to the historic Neermahal water palace and its surrounding lake.
|
E784248
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Melaghar | Statement: [Neermahal Palace, locatedNear, Melaghar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melaghar Context triple: [Neermahal Palace, locatedNear, Melaghar]
-
A.
Taghmon
Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
-
B.
Samalkha
Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
-
C.
Modara
Modara is a coastal urban neighborhood in Colombo, Sri Lanka, known for its port-adjacent location and dense residential and commercial activity.
-
D.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
-
E.
Gharaunda
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Melaghar Triple: [Neermahal Palace, locatedNear, Melaghar]
Generated description
Melaghar is a town in the Indian state of Tripura known as the gateway to the historic Neermahal water palace and its surrounding lake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melaghar Target entity description: Melaghar is a town in the Indian state of Tripura known as the gateway to the historic Neermahal water palace and its surrounding lake.
-
A.
Taghmon
Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
-
B.
Samalkha
Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
-
C.
Modara
Modara is a coastal urban neighborhood in Colombo, Sri Lanka, known for its port-adjacent location and dense residential and commercial activity.
-
D.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
-
E.
Gharaunda
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9429b448190a078e9cdfedd4918 |
completed | April 1, 2026, 8:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c451210819091188151d799e4cb |
completed | April 4, 2026, 12:33 a.m. |
| NEDg | Description generation | batch_69d05dbbe0d08190a15107c17948167f |
completed | April 4, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05e34ae6881908172770c6097a5e5 |
completed | April 4, 2026, 12:41 a.m. |
Created at: March 30, 2026, 7:25 p.m.